Language Model Prompt Engineer Program

Learn how to leverage Large Language Models like ChatGPT or GPT-3  and how to create and engineer prompts for specific-use applications.

Prompt Engineer

About Our Prompt Engineer Program

Qwasar’s Prompt Engineer program focuses on developing and practicing the technical and language skills required to successfully build applications using existing AI models via APIs. Our comprehensive, first-of-its-kind program is entirely project-based, meaning learners develop a strong technical portfolio and actually practice training, building, and testing models, prompts, and answers.

Our focus is training learners to Silicon Valley standards, and in developing critical thinkers who love data, the art of communication, and who understand the development lifecycle specific to prompt engineering and getting applications such as chat bots to do what you want them to do.

Program Options Available

Full-time and part-time programs available remotely.

Remote Part-time Weekday

9-12 months

Tues/Thurs meetings


Start dates:

09 May 2023

11 Jul 2023

19 Sept 2023

31 Oct 2023

Remote Part-time Saturdays

9-12 months

Saturday meetings


Start dates:

13 May 2023

15 July 2023

23 Sept 2023

4 Nov 2023

Remote Full-time Weekdays

7 months

Mon – Fri meetings


Start dates:

09 May 2023

11 Jul 2023

19 Sept 2023

31 Oct 2023

  • Join a specific cohort
  • Virtual meetings 1-3x per day
  • Learn in a community
  • 100% hands-on learning
  • Accountability & motivation
  • Live coding sessions
  • Interviews with industry SWEs
  • Minimum 3-month commitment for each program option

Prompt Engineer Program Cost

Qwasar programs are $2,400 in total and can be paid upfront or in monthly payments. The first two months are due after enrolling and before your start date. This is non-refundable.

Learners are required to sign an enrollment contract.

Prices are in US Dollars and are for learners in North America. Please see our pricing page for more information.

Language Model Prompt Engineer Program Curriculum

What you’ll cover throughout your learning journey. Direct entry to Seasons is available.

Language Model Prompt Engineer


Cover basic software engineering principles: variables, functions, loop statements, if statements, basic algorithms and data structures. Begin using an IDE and the terminal. This track is the equivalent of a coding bootcamp.



Language Model Prompt Engineer


Cover fundamental computer programming concepts and learn the basics of C. Build a solid foundation in back-end programming including pointers, arrays, strings, algorithms, data structures, data types, and software architecture.



Language Model Prompt Engineer


Learners move on to Python and the fundamentals of machine learning, covering regressions, training sets, structured vs unstructured data, and data collection, display, and storage. Learners also cover some of the cloud-based tools available for ML.


Track tech stack:


Language Model Prompt Engineer


After getting a handle on Python, learners dive into data architecting, memory within models and context, training AI models, fine-tuning models, embedding models, using a company’s proprietary data to train models, and English language, grammar, and conversation structures.


Track tech stack:

Python, APIs, OpenAI, SQL

Already an Engineer? Enter Directly to the Prompt Engineering Track

If you are already a software engineer with significant experience in industry, you can apply for “Direct Entry.” This means you skip the core curriculum and go right to the good stuff: the prompt engineer track.

Learners looking for direct entry should indicate so on the application form.

You will be required to complete a technical assessment to evaluate your capabilities.

Are There Already Prompt Engineer Jobs? Yes!

Yes, companies are already hiring for Prompt Engineers. Entrepreneurs have already launched businesses for applications built on GPT-3 and OpenAI.

Some have predicted there will be 20,000 jobs in this space by the end of 2023 – time will tell, ultimately, but as companies understand the power of AI and their own datasets, more jobs will continue to emerge.

Here’s a list of companies or types or companies looking for candidates with the specific skill set and experience that aligns with this program’s curriculum:

  • iSolutionsAI
  • Anthropic
  • Boston Children’s Hospital
iSolutionsAI logo prompt engineer program

Built in Partnership with Prompt Engineer Employer iSolutionsAI

Our prompt engineer program has been built in collaboration with iSolutionsAI.

iSolutionsAI has been building AI-based models and applications for years (long before ChatGPT). They have built applications, companions, chatbots, and AIs for various companies, including Fortune 100 clients. Their expertise includes:

  • custom machine learning models
  • GPT-3/4 language models
  • AI chatbots
  • Community companions
  • and more


How Learning Works

What you will be doing throughout the prompt engineer program.

Language Model Prompt Engineer


Each learning track has a series of projects to complete that last 1 day to up to 3 months. These are problems and challenges to build software based on certain requirements and restrictions.

You will build projects where you will engineer prompts for an application as part of the prompt engineer program.

Language Model Prompt Engineer


Each week, participants will have 1-5 coding exercises to complete. These are accessed through our software and your code is auto-graded to ensure it is up to speed and functioning. This is part of the learning process. We have over 800 exercises in our library with thousands of test cases!

Language Model Prompt Engineer


We use role play to develop soft skills such as job negotiations or conflict resolution. We also use role play in technical interview practice where participants will both be the interviewee and the interviewer. This dual-sided perspective is unique to our program & helps build better interviewees.

Language Model Prompt Engineer


Our system is gamified, meaning that you will earn and spend “Qpoints.” As you complete peer code reviews, you earn points and as you submit your projects for review, you will spend Qpoints.

What Sets Us Apart

Silicon Valley Standards

We train to standards set by Silicon Valley for prompt engineers. This means the level is much higher than that of a bootcamp, and CS degrees certainly aren’t yet teaching a prompt engineer program. 

Technical Skills & Knowledge

Thanks to the depth and breadth of our program curriculum, you acquire a level of technical skills and knowledge that learners in other programs or bootcamps simply never acquire.

Strong Back-end Skills

The vast majority of bootcamps don’t cover data structures or algorithms. CS degrees don’t cover hands-on application of theory or actually developing software architecture. We cover both and your strong back-end skills and experience with databases, data structures, and algorithms will set you apart from other candidates.

Depth of Technical Portfolio

Learners develop a technical portfolio that has depth and shows the extent of their technical skills and ability to handle databases, deployments, and development. Especially since prompt engineering is a new job, having a portfolio to show your competency is important.


Learning Top Skills is Tough

Learning skills is like learning a sport, a musical instrument, or cooking: it takes time, learning by doing, trial and error, and lots of practice. NBA players don’t get good by watching lectures or videos. Skills-based learning at Qwasar is TOUGH.

The key to our programs is to not give up. No matter how difficult the problem is in front of you, do not give up. Great engineers do not give up but instead apply structured problem solving.

After your hard work and upon completing the program, learners will earn a certificate from Qwasar Silicon Valley for the Language Model Prompt Engineer Program.

Language Model Prompt Engineer

Why Qwasar's Prompt Engineer Program?

Why pay more, study less, and then spend 6-12 months trying to find a job (at a bootcamp or CS degree), when you could pay less, study more, and give yourself a much higher chance of gaining employment at (or before graduation)?

Unlike others, our learning model is backed by significant learning science and the learning experience is rooted in learning by doing and in a learning community.

Our employment rates are within 2 months of graduating, not 6 or 12, and most learners gain employment before they finish the curriculum.

We’re way cheaper than other options, and offer flexible learning opportunities.

We list some of the reasons why you should consider Qwasar:

  • Train to Silicon Valley standards

  • MUCH greater depth of fundamentals, data structures, algorithms

  • Freedom and flexibility in learning – i.e. time to learn what you don’t understand

  • Hugely diverse and welcoming learning community

  • Depth and breadth of languages, technical skills, and frameworks covered

  • Extensive technical interview, resume, and profile training/resources

  • Industry-leading coding and learning management platform

  • Access to alumni network for referrals to jobs

Real Employer Partnerships and High Employment Rates

Qwasar works directly with employers and hiring partners who recruit from our programs.

We already have one employer partner for our prompt engineer program who wants to hire candidates from the program.

Qwasar is recognized in industry for its superior programs, curriculum, and graduates, and as a result, our learners often have significantly better opportunities for recruitment into jobs, internships, and apprenticeships compared to other programs.

Language Model Prompt Engineer
Language Model Prompt Engineer

Career Support

Our entire program is designed to make you a great candidate. Qwasar has created a career support track and community called Technical Interview Preparation Program (TIPP), which students join in Season 2. This includes:

Interview Preparation and Practice

  • Complete 20-40 technical interview role plays
  • Better understand the interviewer perspective by living it
  • Complete HackerRank challenges
  • Practice answering behavioral interview questions

Resume and Profile Preparation

  • Technical resume help, review, and feedback
  • LinkedIn profile review and feedback
  • Resume and profile keyword suggestions
  • Resume format requirements for optimal application responses

Technical Portfolio Development

  • Develop a strong technical portfolio as you complete the progra
  • Review and publish your code for your resume’s portfolio

Useful Resources

  • Technical resume templates
  • Behavioral interview worksheet
  • “Tell me about yourself” 2-min pitch worksheet
  • Job application tracking system
  • TIPP community meetings and support
  • Access to unique hiring platforms with jobs from companies looking for candidates without a computer science degree


What to Expect


At Qwasar, you are responsible for your learning, just as you would be responsible for your work in a job. Problem-based learning involves finding, trying, and building solutions. With no single source of truth and no answers provided, it’s up to you to figure out how to make your code work, when and how to ask for help, and how to successfully build software in a team.

Language Model Prompt Engineer

Attend an Information Session

Join us for a session on what learning is like at Qwasar. Sign up to learn more about our program options and how each cohort works:

Join an Outstanding Learning Community!

Joining Qwasar is about joining a learning community. Learning on your own is hard, watching online videos can be boring, and sharing your learning journey (and certainly lots of jokes) with others is important.


Our platform and Discord chat, as well as our program meetings, are all about building and participating in the community. When you join our programs, you have access to:

  • Group debugging sessions
  • Small group sessions
  • Virtual coworking rooms
  • Sophisticated peer code review system
  • Coding collaboration workshops and pair programming
  • Our lively Discord online chat (with a tech news section and a meme section)

Application Process

To apply to our Language Model Prompt Engineer Program, expect the following steps:

Step 1: Submit your application online.

Step 2: We review your application.

Step 3: You will be invited to schedule a virtual interview.

Step 4: Following the interview, if accepted, you will be invited to enroll.

Step 5: You will receive an email with a link to the enrollment form.

Step 6: You complete the enrollment form.


Following a successful application and enrollment, you will be expected to attend orientation, virtually of course!


Language Model Prompt Engineer

Information Sessions

Join us for a session on what learning is like at Qwasar. Sign up to learn more about our program options and how each cohort works.

Language Model Prompt Engineer

Qwasar vs. Others

How do Qwasar programs compare to other tech training options out there? Find out how we stack up.

Language Model Prompt Engineer

View Platform

Software drives our programs and learners access one of the world’s most innovative learning platforms for tech talent training.